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C-Codes
Any Data Structure and Algorithm Implementation in C Language.Django-celery-boilerplate
This repo contains a simple django, celery and redis setup with celery beat and celery flower configured.Data-Science_blogpost
https://medium.com/@gunanksood1222/mostly-used-programming-language-by-developers-in-india-3631ec567ce4ImageClassifier-app
Amazon_Food_reviews_Classification
Classification of Amazon food Reviews using Scikit LearnMultiLabelTextClassification
csv-generator
Python code to generate a csv file with specified rows.Disaster_Response_Pipeline
Data and Machine Learning Pipeline for a projectDog-breed-Classifier
This Project Contains a dog breed classifier based on Convolutional Neural Network and Transfer learning.gunanksood.github.io
Titanic-ML-
Solution of Titanic Problem on kaggleImageCompressor
Image Compressor in pythonWebScrapingWithPython
This repository contains approaches to get data from a web page using webscraping in Python.consumer_pika
CustomerSegmentationUsing_RFM
To find your Best Customer I have explored a bit of Customer Segmentation using RFM.FruitClassifier_ClassificationProblem
The main goal is to identify the machine learning algorithm that is best-suited for the problem at hand.flaskApp-server
rabbitmq
flask-server2
IrisFlowerClassification
Solved a very Popular Machine learning problem Iris flower classification using K nearest Neighbor algorithm implementation in python.LinearRegression_PredictingHomePrices
Using Linear Regression predicting the Bay Area Home PricesSparkify-ML_Pipeline
A feature engineering pipeline and ML model using PySparkRecommendation-Engine
This Repo contains implementation of Recommendation Engine based on Content Based and Collaborative based filtering.NeuralNetwork
A basic implementation of neural network with scikit learn implementation.PredictEmployeeTurnover
Message_Spam_Detector
Flask app Detects entered message is spam or not. Using Naive Bayes approach.Spark-SanFranciscoCrimeClassification
Binary-Classification
Implementation of Binary Classification on Bank Data which Predicts whether Client will Subscribe for Term Deposit or not. Using Logistic Regression and Done over-sampling using SMOTE and used Recursive Feature Elimination.Love Open Source and this site? Check out how you can help us